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M.Tech from IIT Hyderabad | Currently working in Intel as software Engineer.
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Assessing your cultural and operational fit
Intel
Data Scientist
June 18, 2026 – Present
Digital-Design-and-Computer-Architecture
January 2, 2021 – January 18, 2021
Digital-Design-and-Computer-Architecture — GitHub repository
View ProjectModern-CPP
May 25, 2020 – May 31, 2020
This Repo contains my solutions for the homework assignments for Modren C++ course from University of Bonn(2018)
View ProjectCNN
February 8, 2020 – April 26, 2020
This repository contains the math behind deep learning kernels and there implementation in python
View ProjectNLP-Sentiment-analysis
July 30, 2019 – July 30, 2019
NLP-Sentiment-analysis — GitHub repository
View ProjectQ-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
July 20, 2019 – July 26, 2019
D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
View ProjectNLP-Continuous-Bag-of-Words-CBOW-Tensorflow
July 15, 2019 – July 15, 2019
This is step by step implementation of CBOW
View ProjectImage-based-calculator-for-handwritten-mathematical-expression
June 27, 2019 – June 28, 2019
The main aim of the project is to recognize and evaluate Handwritten mathematical expression using tensorflow
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and personal exploration in various technical domains, including digital design, computer architecture, and deep learning. While there's a clear alignment with the 'Data Scientist' target role through several ML/NLP projects, the breadth of projects (e.g., Verilog, Linux Device Drivers) suggests a broad technical curiosity. The single professional experience as a Data Scientist at Intel, if current, indicates direct role alignment. However, the lack of team-based projects or contributions makes it difficult to assess cultural fit beyond individual technical drive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style.